First, we train a model from scratch on the VOC-COCO data. Second, we use a self-supervised learning model, SWAV [1]}, trained on ImageNet1k [2]} to initialize models. Third, we use the default model, trained on ImageNet1k in a supervised manner. Finally, a model trained on ImageNet21k [3]} with a method that considers the hierarchies of the categories is employed. We expect that comparison on these pre-trained models will show the importance of 1) class-discriminative features and 2) the number of categories used for pre-training.
